… PM 2.5 concentration forecasting is an essential and effective … for hourly PM 2.5 concentration
forecasting. The presented … as inputs to forecast the next mode information of the PM 2.5 …

… In this study, the PM 2.5 concentration forecasting models based on the CNN, LSTM and
CNN-LSTM were established respectively. Since it can effectively extract the spatial …

… well forecast PM2.5 concentration in 24 hours in advance, and effectively forecast the
nighttime average concentration, daytime average concentration and daily average concentration …

… PM2.5 concentrations and predicted 75% of the pollution levels, proving that this methodology
can be effective for forecasting … three methods to forecast PM2.5 concentrations, including …

… Therefore, a GNN-based model was designed in this study to forecast PM2.5 concentrations.
GNN and GRU were used in combination to obtain the spatial and temporal relationships …

… This step involves individual prediction at each timescale based on an effective forecasting
model, and ensemble prediction in terms of a linear combination across different timescales. …

… was used to validate the effectiveness of the EMD-… effectively predicts the hourly PM2.5
concentration value of the next hour based on the meteorological data and PM2.5 concentration …

… machine learning methods that have emerged as a result of advancements in data
science, this study examines the effectiveness of using ensemble models for forecasting the …

… and effective framework, termed HML-AFNN, was successfully developed to analyse and
forecast the concentration … accurate air pollutant concentration forecasting. For recent air quality …

… , and the results demonstrated the effectiveness of our model in predicting daily PM2.5 … as
the study area for constructing the PM2.5 concentration forecasting model. Figure 1 shows the …